Weights & Biases
Track, visualize, and compare machine learning experiments, with newer Weave and Inference tools for evaluating and monitoring LLM-based applications.
Alternatives
Overview
Weights & Biases is the MLOps platform that tracks every training run, logs metrics, compares experiments, visualizes model behavior, and manages the full ML lifecycle, from training to deployment to monitoring in production. Data scientists and ML engineers use it to answer 'why did this run perform better than that one' without digging through logs, to collaborate on experiment results across the team, and to build dashboards that show model performance over time. The recent LLM features add prompt management, evaluation datasets, and trace logging for production LLM applications.
Key Features
- Experiment tracking
- Metric logging and visualization
- Model versioning
- Prompt management
- Dataset versioning
- Production monitoring
- • Experiment comparison eliminates the 'which run was that' problem permanently
- • Industry standard, integrations with every major ML framework
- • LLM features extend the platform to production application monitoring
- • Can be overkill for simple fine-tuning jobs or prompt engineering projects
- • Team pricing adds up quickly for large ML organizations
People Also Use
Other Developer Tools tools builders reach for alongside Weights & Biases.
Hugging Face
Host, share, and download open models, datasets, and demo apps — model discovery and deployment in a few clicks instead of a research project.
Dialogflow
Build rule-based or generative conversational agents for chat and voice that plug into Google Cloud's NLU and generative AI stack, billed per request or session. Increasingly marketed as Conversational Agents.
LangChain
Assemble LLM-powered apps and agents from composable building blocks, with LangSmith adding tracing, evaluation, and deployment. Platform rebranded — LangGraph Platform is now LangSmith Deployment.
Ollama
Run open-weight language models directly on your own machine with a single command, or shift to hosted GPUs via Ollama Cloud when local hardware isn't enough.
Supabase
Get a Postgres database, auth, storage, and edge functions in one backend, with an AI Assistant and MCP integrations, so small teams ship apps without managing infrastructure.
LlamaIndex
Connect your own data to LLMs for retrieval-augmented generation — LlamaParse (formerly LlamaCloud) automates document parsing, extraction, and indexing for agentic workflows.